How to Use the CloudTalk MCP in Vercel AI SDK

Q: Can I filter CloudTalk call logs in my Vercel AI SDK UI?

The listcalls tool accepts parameters for agent and direction. You can pass these arguments directly from your user inputs to narrow down the results.

Stream CloudTalk call data and contact updates directly into your Vercel AI SDK frontends for live user interfaces.

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Connect CloudTalk MCP to Vercel AI SDK

Create your Vinkius account to connect CloudTalk to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CloudTalk with Vercel AI SDK

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Live contact management in Vercel AI SDK

Your React components react instantly when you trigger `create_contact` or `update_contact` through this MCP Server. Data flows from the server to your UI without waiting on stale state updates. Developers can push contact changes directly into the DOM as they happen. You'll see the new entry appear in your dashboard the moment the tool finishes its execution.

Real-time call monitoring with Vercel AI SDK

Use `list_calls` to pull active phone logs into your streaming response objects. The data pipes right into your components to show live call volume or agent status. Your app handles the stream directly via the SDK. You don't need secondary polling to keep your interface current when `list_calls` returns new entries.

Direct agent interaction via Vercel AI SDK

Trigger `make_call` from your client-side code to initiate connections immediately. It hooks right into your event loop to manage outbound traffic. Call `list_agents` to populate your custom selectors. The information arrives ready for your frontend to bind to interactive elements.

Setup guide

Set up CloudTalk MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all CloudTalk tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent CloudTalk transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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Common questions about CloudTalk MCP in Vercel AI SDK

Install the MCP client package and point it at the server URL. Use `createMCPClient` to establish the connection and pass the tools into your text generation function.

Yes, it runs on the edge. The transport layer supports standard HTTP calls, making it compatible with your Vercel deployment targets.

The `list_calls` tool accepts parameters for agent and direction. You can pass these arguments directly from your user inputs to narrow down the results.

Vinkius handles the underlying handshake. You just provide the endpoint token, and the client manages the session headers for you.

We use encrypted transit for all contact and call records. Your data stays within the Vinkius sandbox and never touches our persistent storage.

Use it with your favorite AI tools

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